Australian retail and business bank scaling digital capabilities and compliance infrastructure
Bendigo Bank operates a multi-cloud data stack (BigQuery, Redshift, Snowflake, Azure Synapse, Oracle) with dbt, Terraform, and GitLab automation—a mature analytics and infrastructure foundation. Active hiring skews heavily toward support (42 roles) and sales (41 roles), with minimal engineering (3 roles) and data (4 roles), indicating a customer-facing and operational scaling phase. Projects center on core banking platform modernization, data governance, and payroll compliance, while pain points around digital literacy support and regulatory keeping reflect a regional bank managing growth across branch networks and commercial segments.
Notable leadership hires: First Nations Customer Lead, Chief Engineer, Head of Engineering
Bendigo Bank is an Australian public company providing retail banking, business banking, and agricultural banking services. The organization operates across 5,001–10,000 employees and serves millions of customers domestically. Current operational priorities span customer support capacity, sales pipeline development, branch expansion, and modernization of core banking infrastructure. Data governance and payroll compliance framework establishment appear central to internal transformation initiatives, alongside efforts to strengthen commercial portfolio acquisition and manage organizational complexity at scale.
Bendigo Bank uses BigQuery, Redshift, Snowflake, and Azure Synapse for data warehousing; PostgreSQL, SQL Server, and Oracle for databases; dbt for data transformation; GitLab for version control; and Terraform for infrastructure-as-code. AWS and GCP provide cloud compute.
Current priorities include core banking platform modernization, data governance and modeling, payroll compliance frameworks, sales enablement programs, and community engagement initiatives. The bank is also executing strategic market share growth and branch expansion plans.
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